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Productivity, efficiency, and non-performing loans in the Chinese banking industry

Bibliographic Data

ID12007152
AuthorsNing Zhu (0000-0001-8746-9829, Jinan University, corresponding author), Bing Wang (0000-0001-5106-6681, Jinan University), Wang Bing (0000-0003-2322-5387, Jinan University), Yanrui Wu (0000-0002-8966-1459, Business School, University of Western Australia, 35 Stirling Highway, Crawley, Perth, Western Australia 6009, Australia)
Year2014
Volume52
Issue4
Pages468-480
Publication date2014-10-25
Open AccessYes
TypeARTICLE
VenueThe Social Science Journal (JOURNAL)
Journal identifiersISSN: 0362-3319 • E-ISSN: 1873-5355
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1016/j.soscij.2014.10.003
OpenAlexW2045785210
LanguageEN
Citations received3
References cited34

In this paper, the directional distance function and the metafrontier-Luenberger productivity indicator are used to measure the efficiency and the total factor productivity in 25 Chinese commercial banks over the period between 2004 and 2010. It is found that the pure technical efficiency of the state-owned commercial banks is better than that of the joint-stock commercial banks and the city commercial banks, while non-interest income is the major source of inefficiency. In total, the Chinese banking industry performs well in terms of overall productivity. The technological scale change indicating the change of return to scale in technology is the driving force for overall productivity growth. However, the pure technical efficiency change and the pure technologic change are not significant, and the scale efficiency change has a negative effect to productivity. The potential technological relative change for the three groups is greater than zero

Banking industry · Business · Data envelopment analysis · Economics · Financial system · Industrial organization · Inefficiency · Macroeconomics · Market economy · Productivity · Scale (ratio · Stock (firearms · Technical change · Technological change · Total factor productivity · Efficiency Analysis Using DEA · Engineering · Fiscal Policy and Economic Growth · Mathematics · Regional Economic and Spatial Analysis

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Citations per year0.3
Citation span2016 - 2023 (8)
Highly citedNo

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